Determinants of big data analytics adoption in small and medium-sized enterprises (SMEs)

Abstract

PurposeThe study challenges the assumption of independence among Technological, Organizational and Environmental (TOE) factors and investigates the influence of TOE factors on Big Data Analytics (BDA) adoption among Small and Medium Enterprises (SMEs). Top management support was proposed as a mediator between technological and organizational factors and BDA adoption. Furthermore, the moderating effect of environmental factors on the association between relative advantage, compatibility, competitiveness, organizational readiness and BDA adoption was evaluated.Design/methodology/approachData were collected from 171 SME manufacturing firms and analyzed using the partial least squares technique.FindingsThe findings confirmed the interrelationships among the TOE factors. The effects of compatibility, competitiveness and organizational readiness on BDA adoption were mediated by top management support. Furthermore, environmental factors moderate the influences of compatibility and organizational readiness on top management support.Originality/valueThe findings contribute to the TOE model by challenging the assumption of independence among TOE factors, and future studies should use this model with more caution and consider the potential relationships between TOE factors.

Antecedents of big data analytics adoption: an analysis with future managers in a developing country

“…Thus, managers can consider these aspects in decisions involving BDA's adoption. In addition, the results can generate economic and commercial impacts on firms, reinforcing the importance of managers' understanding of the benefits of technology adoption to improve organizational communication to elucidate the system's functionalities, increasing the use of the BDA aiming for the best organizational performance, as pointed out in recent research as well (Maroufkhani et al, 2022). This action can be done, for instance, with training actions to enable simulations in managerial decision-making situations.…”

Why Do SMEs Adopt Artificial Intelligence-Based Chatbots?

“…AI adoption [65,88,89] and for SMEs' adoption of technology [63,90]. Based on the above studies, we expect that SMEs will be more likely to adopt AI chatbots when owner-managers offer support in terms of resources allocation.…”

Data Science for Small and Medium-Sized Enterprises: A Structured Literature Review

“…Improved business processes and decision-making is the most often mentioned benefit in the current literature, which is perfectly aligned with the views of Provost et al [2] that improved organisational decision-making is the central aim of DS implementation. Asa result, BD and BDA are considered critical technologies for the purpose of optimising business operations and developing effective strategies, thus leading to improved and well-informed organisational decision-making [1], [14], [27], [28], [30]. Greater client and market understanding [1,14,20,28] 4…”